nikolaospapachristou

Quality, Data Scientist, Senior Manager

Pinned Repositories

An-Introduction-To-Applied-Bioinformatics
Interactive lessons in bioinformatics.
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awesome-data-engineering
A curated list of data engineering tools for software developers
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awesome-mlops
A curated list of references for MLOps
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awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
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awesome-python-data-science
Probably the best curated list of data science software in Python.
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awesome-R
A curated list of awesome R packages, frameworks and software.
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CancerSymptomNetworks
Demo of my code and expirements on cancer symptoms and their symptom clusters. Please see the following site.
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kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
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MachineLearningWG
D-Lab's Machine Learning Working Group at UC Berkeley, with supervised & unsupervised learning tutorials in R and Python
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nikolaospapachristou's Repositories

nikolaospapachristou/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
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nikolaospapachristou/awesome-streaming
a curated list of awesome streaming frameworks, applications, etc
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nikolaospapachristou/awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
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nikolaospapachristou/BigBookofR
The biggest collection of R books (and maybe later some other resources too)
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nikolaospapachristou/cog
Containers for machine learning
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nikolaospapachristou/consulting-handbook
A guide for technical professionals looking to start consulting
nikolaospapachristou/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
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nikolaospapachristou/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
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nikolaospapachristou/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
nikolaospapachristou/DevOps-Roadmap
DevOps Roadmap for 2023. with learning resources
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nikolaospapachristou/do4ds
A book on DevOps for Data Scientists with CRC Press.
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nikolaospapachristou/engineering-management
A collection of inspiring resources related to engineering management and tech leadership
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nikolaospapachristou/entrepreneurship-resources
A list of articles, books, videos related to entrepreneurship
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nikolaospapachristou/hello-startup-site
The website and mobile app for the book "Hello, Startup" by Yevgeniy Brikman
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nikolaospapachristou/mkdocs-material
Documentation that simply works
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nikolaospapachristou/MLOPs-Zoomcamp-Train
MLOP Zoomcamp
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nikolaospapachristou/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
nikolaospapachristou/openplayground
An LLM playground you can run on your laptop
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nikolaospapachristou/professional-programming
A collection of learning resources for curious software engineers
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nikolaospapachristou/Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
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nikolaospapachristou/python-education
Reading list for ramping up with professional Python
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nikolaospapachristou/pytorch-Deep-Learning
Deep Learning (with PyTorch)
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nikolaospapachristou/recommenders
Best Practices on Recommendation Systems
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nikolaospapachristou/Refactoring-Summary
Summary of "Refactoring: Improving the Design of Existing Code" by Martin Fowler
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nikolaospapachristou/responsible-ai-toolbox
This project provides responsible AI user interfaces for Fairlearn, interpret-community, and Error Analysis, as well as foundational building blocks that they rely on.
nikolaospapachristou/seai
CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)
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nikolaospapachristou/seaibib
Software Engineering for AI/ML -- An Annotated Bibliography
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nikolaospapachristou/udlbook
Understanding Deep Learning - Simon J.D. Prince
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nikolaospapachristou/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
nikolaospapachristou/www.opscompendium.com
The Ops Compendium is a resource list for dataops, mlops, devops, etc, which I'm actively curating in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.